Goodness-of-fit tests for multiple regression with circular response

被引：0

作者：

Meilan-Vila, A. ^{[1
,2
]}

Francisco-Fernandez, M. ^{[2
]}

Crujeiras, R. M. ^{[3
]}

机构：

[1] Univ Carlos III Madrid, Dept Stat, Ave Univ 30, Madrid 28911, Spain

[2] Univ A Coruna, Fac Comp Sci, Dept Math, Res Grp MODES,CITIC, Campus Elvina S-N, La Coruna 15071, Spain

[3] Univ Santiago de Compostela, Fac Math, Dept Stat Math Anal & Optimizat, Santiago De Compostela, Spain

来源：

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | 2022年 / 92卷 / 09期

关键词：

Model checking; circular data; local linear regression; bootstrap; NONPARAMETRIC REGRESSION; LINEAR-MODELS; ESTIMATORS;

D O I：

10.1080/00949655.2021.2015597

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Testing procedures for assessing a parametric regression model with a circular response and an R-d-valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance comparing a (non-smoothed or smoothed) parametric circular regression estimator and a nonparametric one. Two bootstrap procedures for calibrating the tests in practice are also presented. Finite sample performance of the tests in different scenarios is analysed by simulations and illustrated with real data examples.

引用

页码：1941 / 1963

页数：23

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